Senior AI/ML Engineer
Primary location: Bengaluru, Karnataka
INR 3799K-5572K (estimate) Senior-level Full Time
Tasks
- Automate CI CD for model delivery
- Build agentic AI workflows with tool integrations
- Build generative AI solutions with LLMs and RAG
- Build production-grade AI systems
- Build scalable AI services and applications
- Build secure high performance AI platforms
- Comply with security governance and responsible AI requirements
- Deploy and monitor machine learning models
- Design end-to-end AI/ML solutions
- Develop data ingestion pipelines
- Develop feature engineering pipelines
- Develop reusable AI engineering frameworks and automation
- Ensure data readiness and quality
- Implement AI services with APIs and microservices
- Implement MLOps and LLMOps pipelines
- Implement automated testing and validation
- Implement batch and real time processing architectures
- Implement code quality and code review processes
- Implement continuous monitoring and observability
- Implement human-in-the-loop workflows
- Implement semantic search and retrieval systems
- Integrate AI workloads with enterprise data platforms and governance
- Integrate LLM and generative AI into enterprise applications
- Maintain documentation
- Manage model lifecycle
- Optimize AI performance scalability reliability and cost
- Orchestrate prompts and retrieval pipelines
- Track experiments
- Train and evaluate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Automated testing | Azure | CI/CD | Caching | Cloud Computing | Cloud platform | Code review | Containerization | Data Pipelines | Deep learning | Distributed Systems | Docker | Embeddings | Experiment tracking | Feature Engineering | Google Cloud | Google Cloud Platform | Infrastructure Optimization | Kubernetes | LLMOps | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Microservices | Model Evaluation | Model Monitoring | Model Training | Observability | Prompt engineering | Prompt orchestration) | PyTorch | Python | Retrieval-Augmented Generation | SQL | Security Compliance | Semantic Search | Serverless computing | Software testing | TensorFlow | Token optimization | Vector Databases | Vector Search
Education
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